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IBMAnalytics Architect in
SINGAPORE,
Singapore

Job Description

The Analytics Architect role is part of IBM Hybrid Cloud Client Services team. He/she collaborates with other involved IBM organizations to formalize the short-term and long-term Analytics and AI strategies for account growth enhancing the technical and analytic architecture of the solution. The Analytic Architect will act as a technical advisor to our customers. Building this level of relationship with our enterprise customer base is critical and requires the Architect to be able to operate and be credible from the C-Suite to the hands-on development teams in the customer project environments. It is critical therefore that the Analytic Architect is experienced in the full enterprise information life cycle as a practitioner who is sought after with the ability lead critical customer engagements in the field.

The Analytic Architect has both strategic and tactical responsibility for designing, developing and leading complex technical & business architectures within enterprise class customer environments in Singapore. This position supports sales and leads deployment of projects in both pre-sales and post sales while acting as an advisor to sales, services, and customers alike. The Analytics Architect possesses deep and broad technical skills across multiple IBM Analytics product lines such as Big Data, Hadoop/Open Source, DB2, Netezza, InfoSphere Server, Data Governance, Data Integration, SPSS, Watson Analytics, DSX, Cloud and Hybrid Cloud technologies. The Analytics Architect is a practitioner with years of experience at an enterprise level possessing a broad understanding enterprise architectures and systems from an infrastructure level to enterprise applications level.

Specific position requirements include:

Work with the software team to define and review the proposed solution

Work on RFP/Tender responses to build solution architecture and statement of work

Conduct review of business requirements and source systems

Work with customer to derive the solution characteristics and outlines

Plan architecture of the proposed implementation

Create the implementation topology for the solution

Design and create data models and ETL frameworks

Perform data analysis and profiling

Creation of mapping documents and implementing DataStage solutions for large Data Warehouses.

Experience with IBM metadata management and governance tools such as Information analyzer, Business Glossary, IGC is required

Previous experience with end-to-end data warehouse implementations from solutioning, requirements gathering all the way to User acceptance testing and deployment to production

Strong analytical and technical aptitude

Ability to create detailed technical design specifications

The Analytics Architect must engage customer early together with IBM sales team. Being able to conduct quick discovery workshop by analyzing the customer needs and requirements to understand the business problem in terms of both the long- and short-term analytics problem. Once a complete understanding of the problem is achieved, it is up to the Architect to take a "holistic" view of potential solutions and, based on years of experience, pull together the right mix of tools and techniques to solve it.

With the problem definition completed, the Architect must comprise a solution by selecting and configuring software layers into a compatible, workable architecture. This architecture establishes the fundamental framework on which all other functions work. The scope of responsibilities also includes working with sales and services to develop complete end-to-end project estimation, development of SOW and Proposal content, project planning and design specification.

Required Technical and Professional Expertise

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Preferred Tech and Prof Experience

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EO Statement

IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.